Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide
1st ed. 2023
Book Details
Format
Paperback / Softback
ISBN-10
9811951721
ISBN-13
9789811951725
Edition
1st ed. 2023
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 19th, 2022
Print length
323 Pages
Product Classification:
Mathematical physicsMathematical & statistical softwareMachine learning
Ksh 6,300.00
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This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods.
Chapter 1: Introduction.- Chapter 2: Tuning.- Chapter 3: Models.- Hyperparameter Tuning Approaches.- Chapter 5: Result Aggregation.- Chapter 6: Relevance of Tuning in Industrial Applications.- Chapter 7: Hyperparameter Tuning in German Official Statistics.- Chapter 8: Case Study I.- Chapter 9: Case Study II.- Chapter 10: Case Study III.- Chapter IV: Case Study IV.- Chapter 12: Global Study.
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